13,806 research outputs found
An Evaluation of Popular Copy-Move Forgery Detection Approaches
A copy-move forgery is created by copying and pasting content within the same
image, and potentially post-processing it. In recent years, the detection of
copy-move forgeries has become one of the most actively researched topics in
blind image forensics. A considerable number of different algorithms have been
proposed focusing on different types of postprocessed copies. In this paper, we
aim to answer which copy-move forgery detection algorithms and processing steps
(e.g., matching, filtering, outlier detection, affine transformation
estimation) perform best in various postprocessing scenarios. The focus of our
analysis is to evaluate the performance of previously proposed feature sets. We
achieve this by casting existing algorithms in a common pipeline. In this
paper, we examined the 15 most prominent feature sets. We analyzed the
detection performance on a per-image basis and on a per-pixel basis. We created
a challenging real-world copy-move dataset, and a software framework for
systematic image manipulation. Experiments show, that the keypoint-based
features SIFT and SURF, as well as the block-based DCT, DWT, KPCA, PCA and
Zernike features perform very well. These feature sets exhibit the best
robustness against various noise sources and downsampling, while reliably
identifying the copied regions.Comment: Main paper: 14 pages, supplemental material: 12 pages, main paper
appeared in IEEE Transaction on Information Forensics and Securit
1st INCF Workshop on Genetic Animal Models for Brain Diseases
The INCF Secretariat organized a workshop to focus on the “role of neuroinformatics in the processes of building, evaluating, and using genetic animal models for brain diseases” in Stockholm, December 13–14, 2009. Eight scientists specialized in the fields of neuroinformatics, database, ontologies, and brain disease participated together with two representatives of the National Institutes of Health and the European Union, as well as three observers of the national INCF nodes of Norway, Poland, and the United Kingdom
Constraining the Dark Energy Equation of State with Cosmic Voids
Our universe is observed to be accelerating due to the dominant dark energy
with negative pressure. The dark energy equation of state (w) holds a key to
understanding the ultimate fate of the universe. The cosmic voids behave like
bubbles in the universe so that their shapes must be quite sensitive to the
background cosmology. Assuming a flat universe and using the priors on the
matter density parameter (Omega_m) and the dimensionless Hubble parameter (h),
we demonstrate analytically that the ellipticity evolution of cosmic voids may
be a sensitive probe of the dark energy equation of state. We also discuss the
parameter degeneracy between w and Omega_m.Comment: ApJL in press, growth factor corrected, parameter degeneracy
calculate
Constraining Perturbative Early Dark Energy with Current Observations
In this work, we study a class of early dark energy (EDE) models, in which,
unlike in standard DE models, a substantial amount of DE exists in the
matter-dominated era, self-consistently including DE perturbations. Our
analysis shows that, marginalizing over the non DE parameters such as , current CMB observations alone can constrain the scale factor of
transition from early DE to late time DE to and width of
transition to . The equation of state at present is somewhat
weakly constrained to , if we allow km/s/Mpc. Taken
together with other observations, such as supernovae, HST, and SDSS LRGs, the
constraints are tighter-- .
The evolution of the equation of state for EDE models is thus close to
CDM at low redshifts. Incorrectly assuming DE perturbations to be
negligible leads to different constraints on the equation of state parameters,
thus highlighting the necessity of self-consistently including DE perturbations
in the analysis. If we allow the spatial curvature to be a free parameter, then
the constraints are relaxed to with for CMB+other observations. For
perturbed EDE models, the lower limit on () is much lower than that in CDM (), thus
raising the interesting possibility of discriminating EDE from CDM
using future observations such as halo mass functions or the Sunyaev-Zeldovich
power spectrum.Comment: 12 pages, 5 figures, references updated, accepted for publication in
Ap
Reconstructing the Equation of State for Dark Energy In the Double Complex Symmetric Gravitational Theory
We propose to study the accelerating expansion of the universe in the double
complex symmetric gravitational theory (DCSGT). The universe we live in is
taken as the real part of the whole spacetime which is double
complex. By introducing the spatially flat FRW metric, not only the double
Friedmann Equations but also the two constraint conditions and
are obtained. Furthermore, using parametric ansatz, we reconstruct the
and for dark energy from real observational data. We
find that in the two cases of and , the
corresponding equations of state remain close to -1 at present
() and change from below -1 to above -1. The results illustrate that the
whole spacetime, i.e. the double complex spacetime , may be
either ordinary complex () or hyperbolic complex
(). And the fate of the universe would be Big Rip in the
future.Comment: 5 pages, 5 figures, accepted by Commun. Theor. Phy
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